QUALITY CONTROL METHODS AND MANAGEMENT
| Title | ΤΕΧΝΙΚΕΣ ΚΑΙ ΟΡΓΑΝΩΣΗ ΕΛΕΓΧΟΥ ΠΟΙΟΤΗΤΑΣ / QUALITY CONTROL METHODS AND MANAGEMENT |
| Code | 223 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Georgios Tagaras |
| Common | Yes |
| Status | Active |
| Course ID | 20000320 |
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 88
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Energy | Elective Courses belonging to the other | 8 | 4 | 5 |
| Design and Structures | Elective Courses belonging to the other | 8 | 4 | 5 |
| Industrial Management | Compulsory Course belonging to the selected specialization (Compulsory Specialization Course) | 8 | 4 | 5 |
| Academic Year | 2018 – 2019 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Class ID | 600131038
|
Class Schedule
| Building | Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) |
| Floor | Όροφος 1 |
| Hall | 553-554 (90) |
| Calendar | Τρίτη 14:00 έως 16:00 |
| Building | Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) |
| Floor | Όροφος 1 |
| Hall | 553-554 (90) |
| Calendar | Πέμπτη 12:00 έως 14:00 |
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600131038
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=7425
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
A very good knoledge of probability theory and statistics is very desirable and useful.
Learning Outcomes
The course presents systematically the modern methods of quality assurance placing special emphasis on the techiques of Statistical Quality Control (SQC). After the completion of the course the students should be able to handle and solve problems related to control and assurance of quality of products and processes by means of scientifically rigorous quantitative methods.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction: brief history of quality methodology, quality management, quality costs, methods for quality improvement.
Acceptance sampling: lot-by-lot acceptance sampling for attributes, single, double and multiple sampling plans, statistical and economic design.
Statistical Process Control: capability analysis, control charts for attributes and variables, statistical and economic design.
Quality Improvement with Statistical Experiments: using designed experiments in quality improvement. Taguchi methods.
Planning, organising and developing quality systems for industry.
Keywords
Quality, statistical methods
Educational Material Types
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Communication with Students
Description
Announcements and general information about the course are available at eLearning (https://elearning.auth.gr/course/view.php?id=7425).
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 52 | 1.7 | ✓ | ||
| Reading Assigment | 75 | 2.5 | ✓ | ||
| Written assigments | 18 | 0.6 | ✓ | ✓ | |
| Exams | 5 | 0.2 | ✓ | ✓ | |
| Total | 150 | 5 |
Student Assessment
Description
The final grade M is a combination of the grades in the final written examination (T), the midterm examination (Π) and the project/homework (E) as follows:
• If either Τ < 4,5 or (Τ+Π)/2 < 4, then the final grade is Μ = (0,8)Τ.
• In every other case the final grade is Μ = max {(0,6)Τ + (0,3)Π + (0,2)Ε, (0,8)T}.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Ταγαράς, Γ.Ν. "Στατιστικός Έλεγχος Ποιότητας", εκδ. Ζήτη, Θεσσαλονίκη, 2001.
2. Λογοθέτης, Ν. "Μάνατζμεντ Ολικής Ποιότητας", εκδ. Interbooks, Αθήνα, 2005.
3. Παπαργύρης, Α.Δ. και Παπαργύρης, Δ.Α. "Ποιοτικός έλεγχος παραγωγής", εκδ. Ζήτη, Θεσσαλονίκη, 2010.
Additional bibliography for study
Montgomery, D.C. "Introduction to Statistical Quality Control", Wiley, 2012.
Last Update
22-01-2019
